Andrew Saykin

  • 37394 Citations
  • 99 h-Index
1986 …2020

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2019

A dirty multi-task learning method for multi-modal brain imaging genetics

for the Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 447-455 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis

Du, L., Liu, K., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 356-359 4 p. 8759489. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Disruption of gene co-expression network along the progression of Alzheimer's disease

Upadhyaya, Y., Xie, L., Salama, P., Nho, K., Saykin, A. J. & Yan, J., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834551. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. J. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mining regional imaging genetic associations via voxel-wise enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834450. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

for the ADNI, Jan 1 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Heritability estimation of reliable connectomic features

Xie, L., Amico, E., Salama, P., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goñi, J., Yan, J. & Shen, L., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 58-66 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goni, J. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 6-9 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1402-1405 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning

Lu, L., Wang, H., Yao, X., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 545-548 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., Dzemidzic, M., Saykin, A. & Apostolova, L., Jan 1 2018, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Stoyanov, D., Sotiras, A., Papiez, B., Dalca, A. V., Martel, A., Parisot, S., Ferrante, E., Maier-Hein, L., Sabuncu, M. R., Shen, L. & Taylor, Z. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11044 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
2017

A fast SCCA algorithm for big data analysis in brain imaging genetics

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

BECA: A Software Tool for Integrated Visualization of Human Brain Data

Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A. J., Goñi, J. & Shen, L., Jan 1 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). Springer Verlag, p. 285-291 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach

Du, L., Zhang, T., Liu, K., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Han, J., Guo, L. & Shen, L., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 543-555 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model

The ADNI, Jan 1 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Sahinalp, S. C. (ed.). Springer Verlag, p. 287-302 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules

Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A. & Shen, L., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6170-6174 5 p. 7953342. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

New probabilistic multi-graph decomposition model to identify consistent human brain network modules

Luo, D., Huo, Z., Wang, Y., Saykin, A. J., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model

Wang, X., Liu, K., Yan, J., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 220-229 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

A new statistical image analysis approach and its application to Hippocampal morphometry

ADNI, Jan 1 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Liao, H., Zheng, G., Lee, S-L., Cattin, P. & Jannin, P. (eds.). Springer Verlag, p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration

Cong, S., Rizkalla, M., Salama, P., Risacher, S. L., West, J. D., Wu, Y. C., Apostolova, L., Tallman, E., Saykin, A. J. & Shen, L., Jul 2 2016, 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 7870109. (Midwest Symposium on Circuits and Systems; vol. 0).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
2015

GN-SCCA: Graphnet based sparse canonical correlation analysis for brain imaging genetics

Du, L., Yan, J., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J., Shen, L. & Alzheimer’s Disease Neuroimaging Initiative, D. N. I., Jan 1 2015, Brain Informatics and Health - 8th International Conference, BIH 2015, Proceedings. Guo Y., Y., Hill S., S., Friston, K., Peng, H. & Faisal A., A. (eds.). Springer Verlag, p. 275-284 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Identifying connectome module patterns via new balanced multi-graph normalized cut

Gao, H., Cai, C., Yan, J., Yan, L., Cortes, J. G., Wang, Y., Nie, F., West, J., Saykin, A., Shen, L. & Huang, H., Jan 1 2015, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Hornegger, J., Frangi, A. F., Wells, W. M., Frangi, A. F., Navab, N., Hornegger, J., Navab, N., Wells, W. M., Wells, W. M., Frangi, A. F., Hornegger, J. & Navab, N. (eds.). Springer Verlag, p. 169-176 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9350).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Integrated visualization of human brain connectome data

Li, H., Fang, S., Goni, J., Contreras, J. A., Liang, Y., Cai, C., West, J. D., Risacher, S. L., Wang, Y., Sporns, O., Saykin, A., Shen, L. & ADNI, 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9250. p. 295-305 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease

Cong, S., Rizkalla, M., Salama, P., West, J., Risacher, S., Saykin, A. & Shen, L., Sep 28 2015, IEEE 58th International Midwest Symposium on Circuits and Systems: Climbing to New Heights, MWSCAS 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 7282173. (Midwest Symposium on Circuits and Systems; vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Two-dimensional enrichment analysis for mining high-level imaging genetic associations

Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J., Shen, L. & The Alzheimer’s Disease Neuroimaging Initiative, A. D. N. I., 2015, Brain Informatics and Health - 8th International Conference, BIH 2015, Proceedings. Guo Y., Y., Hill S., S., Friston, K., Peng, H. & Faisal A., A. (eds.). Springer Verlag, p. 115-124 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations
2014

Accelerating sparse canonical correlation analysis for large brain imaging genetics data

Yan, J., Zhang, H., Du, L., Wernert, E., Saykin, A. J. & Shen, L., Jan 1 2014, Proceedings of the XSEDE 2014 Conference: Engaging Communities. Association for Computing Machinery, 4. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

A novel structure-aware sparse learning algorithm for brain imaging genetics

Du, L., Yan, J., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Jan 1 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 329-336 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM

Cong, S., Rizkalla, M., Du, E. Y., West, J., Risacher, S., Saykin, A. & Shen, L., Sep 23 2014, 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014. Institute of Electrical and Electronics Engineers Inc., p. 813-816 4 p. 6908539. (Midwest Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Comparison of multi-sample variant calling methods for whole genome sequencing

Nho, K., West, J. D., Li, H., Henschel, R., Tavares, M. C., Bharthur, A., Weiner, M. W., Green, R. C., Toga, A. W. & Saykin, A. J., Dec 17 2014, International Conference on Systems Biology, ISB. Wu, L-Y., Wang, Y., Chen, L. & Zhang, X-S. (eds.). IEEE Computer Society, p. 59-62 4 p. 6990432

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Data synthesis and method evaluation for brain imaging genetics

Sheng, J., Kim, S., Yan, J., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 1202-1205 4 p. 6868091. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Human connectome module pattern detection using a new multi-graph MinMax cut model

Wang, D., Wang, Y., Nie, F., Yan, J., Cai, W., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Joint identification of imaging and proteomics biomarkers of alzheimer's disease using network-guided sparse learning

Yan, J., Huang, H., Kim, S., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 665-668 4 p. 6867958. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
2013

A graph-based integration of multimodal brain imaging data for the detection of early mild cognitive impairment (E-MCI)

Kim, D., Kim, S., Risacher, S. L., Shen, L., Ritchie, M. D., Weiner, M. W., Saykin, A. J. & Nho, K., Sep 5 2013, Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings. p. 159-169 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

A new sparse simplex model for brain anatomical and genetic network analysis

Huang, H., Yan, J., Nie, F., Huang, J., Cai, W., Saykin, A. J. & Shen, L., Oct 24 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. p. 625-632 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Genetic clustering on the hippocampal surface for genome-wide association studies

Hibar, D. P., Medland, S. E., Stein, J. L., Kim, S., Shen, L., Saykin, A. J., De Zubicaray, G. I., McMahon, K. L., Montgomery, G. W., Martin, N. G., Wright, M. J., Djurovic, S., Agartz, I. A., Andreassen, O. A. & Thompson, P. M., Oct 24 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. p. 690-697 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Network-guided sparse learning for predicting cognitive outcomes from MRI measures

Yan, J., Huang, H., Risacher, S. L., Kim, S., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Sep 5 2013, Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings. p. 202-210 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

PARP1 gene variation and microglial activity on [11C]PBR28 PET in older adults at risk for Alzheimer's disease

Kim, S., Nho, K., Risacher, S. L., Inlow, M., Swaminathan, S., Yoder, K. K., Shen, L., West, J. D., McDonald, B. C., Tallman, E. F., Hutchins, G. D., Fletcher, J. W., Farlow, M. R., Ghetti, B. & Saykin, A. J., Sep 5 2013, Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings. p. 150-158 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Structural brain network constrained neuroimaging marker identification for predicting cognitive functions

Wang, D., Nie, F., Huang, H., Yan, J., Risacher, S. L., Saykin, A. J. & Shen, L., Jul 12 2013, Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Proceedings. p. 536-547 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7917 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations
2012

High-order multi-task feature learning to identify longitudinal phenotypic markers for Alzheimer's disease progression prediction

Wang, H., Nie, F., Huang, H., Yan, J., Kim, S., Risacher, S. L., Saykin, A. J. & Shen, L., Dec 1 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 1277-1285 9 p. (Advances in Neural Information Processing Systems; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Scopus citations

Multimodal neuroimaging predictors for cognitive performance using structured sparse learning

Yan, J., Risacher, S. L., Kim, S., Simon, J. C., Li, T., Wan, J., Wang, H., Huang, H., Saykin, A. J. & Shen, L., Nov 6 2012, Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. p. 1-17 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7509 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease

Wan, J., Zhang, Z., Yan, J., Li, T., Rao, B. D., Fang, S., Kim, S., Risacher, S. L., Saykin, A. J. & Shen, L., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 940-947 8 p. 6247769. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations
2011

Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression

Wang, H., Nie, F., Huang, H., Risacher, S., Saykin, A. J. & Shen, L., Oct 11 2011, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3 ed. p. 115-123 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6893 LNCS, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
53 Scopus citations

Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net

Shen, L., Kim, S., Qi, Y., Inlow, M., Swaminathan, S., Nho, K., Wan, J., Risacher, S. L., Shaw, L. M., Trojanowski, J. Q., Weiner, M. W. & Saykin, A. J., Oct 11 2011, Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. p. 27-34 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7012 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Wang, H., Nie, F., Huang, H., Risacher, S., Ding, C., Saykin, A. J. & Shen, L., Dec 1 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 557-562 6 p. 6126288. (Proceedings of the IEEE International Conference on Computer Vision).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

88 Scopus citations
2010

An interactive user interface system for Alzheimer's intervention

Makedon, F., Zhang, R., Alexandrakis, G., Owen, C. B., Huang, H. & Saykin, A. J., Sep 9 2010, 3rd International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2010. 35. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations